Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids

Due to the fast depletion of fossil fuels and environmental concerns, the Microgrids (MGs) have emerged as an alternate source of electrical power generation. Renewable power sources like wind turbines, microturbines, solar Photo-voltaic (PV) and fuel cells connected together in a local grid to form...

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Main Author:	Khan, Ismail Akbar
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/79325/1/IsmailAkbarKhanMFKE2018.pdf
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spelling	my-utm-ep.793252018-10-14T08:44:23Z Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids 2018 Khan, Ismail Akbar TK Electrical engineering. Electronics Nuclear engineering Due to the fast depletion of fossil fuels and environmental concerns, the Microgrids (MGs) have emerged as an alternate source of electrical power generation. Renewable power sources like wind turbines, microturbines, solar Photo-voltaic (PV) and fuel cells connected together in a local grid to form a MG system and provide energy to communities living too far from the utility grid. In spite of the vast benefits of employing MGs in islanding or connecting them with the existing utility grids, they create some serious power quality issues. This is mainly due to the “plug and play” capability of connected DGs and loads within MGs and the use of a non-linear power electronic interface like voltage source inverter or converter used to integrate DGs with the MG. These power quality issues like high harmonic distortion, increased voltage and frequency flickers, high current transients and ineffective active and reactive power regulation limits the wide applicability of these small scale distributed MGs. Therefore, an optimal power control strategy is required to smoothly integrate these DGs within MG and into the main grid with desired active and reactive power sharing ratio and minimized harmonic distortion. This research work is carried out to develop an optimal power controller for the grid connected MGs in order to regulate the active and reactive power flow between the MG and the utility grid according to the desired setpoint with enhanced power quality. Furthermore, in order to improve the performance of the proposed controller under different operating conditions, its gain parameters (Kp and Ki) are optimally selected by using Modified Particle Swarm Optimisation (MPSO) algorithm. Moreover, to validate the effectiveness of the proposed MPSO based controller, its performance is compared with that of the conventional PSO based controller for the same operating conditions. As a result, MPSO provided improvement of 21.6% in overshoot, in 24.8% rise time and 15% in settling time has been obtained. Furthermore, the proposed controller provides an excellent response in regulating active and reactive power along with good power quality, in particular when the high DG penetration is required. 2018 Thesis http://eprints.utm.my/id/eprint/79325/ http://eprints.utm.my/id/eprint/79325/1/IsmailAkbarKhanMFKE2018.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Khan, Ismail Akbar Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
description	Due to the fast depletion of fossil fuels and environmental concerns, the Microgrids (MGs) have emerged as an alternate source of electrical power generation. Renewable power sources like wind turbines, microturbines, solar Photo-voltaic (PV) and fuel cells connected together in a local grid to form a MG system and provide energy to communities living too far from the utility grid. In spite of the vast benefits of employing MGs in islanding or connecting them with the existing utility grids, they create some serious power quality issues. This is mainly due to the “plug and play” capability of connected DGs and loads within MGs and the use of a non-linear power electronic interface like voltage source inverter or converter used to integrate DGs with the MG. These power quality issues like high harmonic distortion, increased voltage and frequency flickers, high current transients and ineffective active and reactive power regulation limits the wide applicability of these small scale distributed MGs. Therefore, an optimal power control strategy is required to smoothly integrate these DGs within MG and into the main grid with desired active and reactive power sharing ratio and minimized harmonic distortion. This research work is carried out to develop an optimal power controller for the grid connected MGs in order to regulate the active and reactive power flow between the MG and the utility grid according to the desired setpoint with enhanced power quality. Furthermore, in order to improve the performance of the proposed controller under different operating conditions, its gain parameters (Kp and Ki) are optimally selected by using Modified Particle Swarm Optimisation (MPSO) algorithm. Moreover, to validate the effectiveness of the proposed MPSO based controller, its performance is compared with that of the conventional PSO based controller for the same operating conditions. As a result, MPSO provided improvement of 21.6% in overshoot, in 24.8% rise time and 15% in settling time has been obtained. Furthermore, the proposed controller provides an excellent response in regulating active and reactive power along with good power quality, in particular when the high DG penetration is required.
format	Thesis
qualification_level	Master's degree
author	Khan, Ismail Akbar
author_facet	Khan, Ismail Akbar
author_sort	Khan, Ismail Akbar
title	Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_short	Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_full	Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_fullStr	Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_full_unstemmed	Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
title_sort	modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/79325/1/IsmailAkbarKhanMFKE2018.pdf
_version_	1747818200899256320

Modified particle swarm optimization algorithm based power flow controller for grid-connected microgrids

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